Evidence map›Paper›PMID 32673318›Full record

ArticlePloS one2020

Identification of QTLs for high grain yield and component traits in new plant types of rice.

Ravindra Donde, Shibani Mohapatra, S K Yasin Baksh, Barada Padhy, Mitadru Mukherjee, Somnath Roy, Krishnendu Chattopadhyay, A Anandan, Padmini Swain, Khirod Kumar Sahoo and 3 more

Abstract read
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Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight atPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  7. Enhancing stress resilience in rice (Frontiers in plant science · 2024
    Article
  8. Marker trait association for biological nitrogen fixation traits in an interspecific cross of chickpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Genetic relationship, population structure analysis and pheno-molecular characterization of rice (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ravindra DondeICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Shibani MohapatraICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
S K Yasin BakshICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Barada PadhyICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Mitadru MukherjeeICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Somnath RoyICAR-NRRI, Regional Research Station (CRURRS), Hazaribagh, Jharkhand.
Krishnendu ChattopadhyayICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
A AnandanICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Padmini SwainICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Khirod Kumar SahooDepartment of Botany, Ravenshaw University, Cuttack, Odisha.
Onkar Nath SinghICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Lambodar BeheraICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.
Sushanta Kumar DashICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India.ORCID 0000-0003-1160-5921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A panel of 60 genotypes comprising New Plant Types (NPTs) along with indica, tropical and temperate japonica genotypes was phenotypically evaluated for four seasons in irrigated situation for grain yield per se and component traits. Twenty NPT genotypes were found promising with an average grain yield varying from 5.45 to 8.8 t/ha. A total of 85 SSR markers were used in the study to identify QTLs associated with grain yield per se and related traits. Sixty-six (77.65%) markers were found to be polymorphic. The PIC values varied from 0.516 to 0.92 with an average of 0.704. A moderate level of genetic diversity (0.39) was detected among genotypes. Variation to the tune of 8% within genotypes, 68% among the genotypes within the population and 24% among the populations were observed (AMOVA). This information may help in identification of potential parents for development of transgressive segregants with very high yield. The association analysis using GLM and MLM models led to the identification of 30 and 10 SSR markers associated with 70 and 16 QTLs, respectively. Thirty novel QTLs linked with 16 SSRs were identified to be associated with eleven traits, namely tiller number (qTL-6.1, qTL-11.1, qTL-4.1), panicle length (qPL-1.1, qPL-5.1, qPL-7.1, qPL-8.1), flag leaf length (qFLL-8.1, qFLL-9.1), flag leaf width (qFLW-6.2, qFLW-5.1, qFLW-8.1, qFLW-7.1), total no. of grains (qTG-2.2, qTG-a7.1), thousand-grain weight (qTGW-a1.1, qTGW-a9.2, qTGW-5.1, qTGW-8.1), fertile grains (qFG-7.1), seed length-breadth ratio (qSlb-3.1), plant height (qPHT-6.1, qPHT-9.1), days to 50% flowering (qFD-1.1) and grain yield per se (qYLD-5.1, qYLD-6.1a, qYLD-11.1).Some of the SSRs were co-localized with more than two traits. The highest co-localization was identified with RM5709 linked to nine traits, followed by RM297 with five traits. Similarly, RM5575, RM204, RM168, RM112, RM26499 and RM22899 were also recorded to be co-localized with more than one trait and could be rated as important for marker-assisted backcross breeding programs, for pyramiding of these QTLs for important yield traits, to produce new-generation rice for prospective increment in yield potentiality and breaking yield ceiling.

Indexed as

Quantitative Trait LociEdible GrainGenetic VariationGenotypeMicrosatellite RepeatsOryzaPhenotypePlant LeavesPrincipal Component Analysis

Identifiers

PMID32673318
PMCPMC7365460

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.